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README.md

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-title: CSV Data Anonymizer for GDPR
-emoji: 🔒
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 5.9.1
-app_file: app.py
-pinned: false
-license: mit
-short_description: Anonymize CSV sensitive columns for GDPR compliance
-tags:
-  - privacy
-  - gdpr
-  - data-science
-  - csv
-  - anonymization
----
-
-# 🔒 CSV Data Anonymizer — GDPR Ready
-
-Upload a CSV, select the columns containing sensitive data, and download an anonymized version ready to share with your team or AI tools.
-
-Credits: [xlclick.com](https://xlclick.com)
-
-## Features
-
-- **Auto-detection** of data type (email, name, phone, address…)
-- **Deterministic mapping**: the same real value always produces the same fake value, preserving dataset consistency
-- **Supported types**: Email, First name, Last name, Full name, Phone, Address, City, Postal code, Tax ID, Date of birth, Generic
-- **Preview** of the result before downloading
-- **CSV download** ready to use
-
-## How to use
-
-1. Upload your CSV file
-2. Review the auto-detected column types and correct them if needed
-3. Check/uncheck the columns you want to anonymize
-4. Click **"Anonymize"**
-5. Download the anonymized CSV
-
-## Privacy note
-
-The file is processed entirely in memory on the server — no data is saved to disk or transmitted to third parties.